• Title/Summary/Keyword: 디지털 영상 센서

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Development of residual current detector for protecting human and equipment of TN grounding systems in DC power distribution systems (TN접지방식 직류배전에서의 인체 및 설비 보호를 위한 누설전류 검출기)

  • Lee, Won-Ki;Kim, Hyosung
    • Proceedings of the KIPE Conference
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    • 2014.11a
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    • pp.64-65
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    • 2014
  • 신재생에너지원의 급속한 보급, 고신뢰 및 고효율 전원망에 대한 고객의 요구, 디지털부하의 급증 등 기술적 사회적 환경의 변화에 따라 직류배전망에 대한 관심이 높아지고 있다. 이에 따라 직류배전망의 안전성에 대한 문제도 지속적으로 제기되고 있다. 특히 지락, 단락사고, 절연고장, 낙뢰, 아크, 전식 등으로부터 인체 감전과 기기의 소손, 정지 또는 오동작이 발생될 수 있으며 이로 인해 심각한 문제를 야기될 수 있다. 국제표준 IEC 60364에서는 전기설비에 따른 접지시스템을 TT, TN 및 IT접지의 3가지로 분류하고 있다. TN접지방식은 전원선과 설비외함의 노출 도전부를 보호도체를 사용하여 공통으로 접지하는 계통을 말한다. 따라서, 전원선이 외함에 접촉되거나 인체의 감전에 의한 누전사고가 발생하였을 때 전원선 전체를 통하여 흐르는 전류의 차이를 검출함으로서 사고전류의 검출이 즉각 이루어 질 수 있다. 교류계통에서는 영상전류검출기에 의하여 누설전류의 검출이 가능하지만 직류계통에서는 영상전류검출기를 사용할 수 없으므로 새로운 방식의 누전검출장치의 개발이 요구된다. 또한 감전 사고는 인체의 사고와 설비의 사고 두 가지로 구별되며, 효율적인 전력운영과 안전을 위하여 두가지 사고에 대해 통합적으로 구분 동작이 가능한 누설전류 검출기 개발이 요구된다. 본 연구에서는 TN접지계통에서 직류누설전류 검출이 가능한 홀 센서(HCT)를 사용하여 인체 및 설비의 누설전류 패턴에 따라 구분 동작이 가능한 직류용 누설전류 검출기 개발에 관한 연구를 수행하였다.

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An implementation of the continuous wave doppler system for blood flow measurement using the ultrasound (효율적인 혈류 속도 측정을 위한 연속 초음파 도플러 장치의 구현)

  • 박형재;김영길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.516-519
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    • 2001
  • To diagnose a patient's blood vessel disease, apoplexy, hypertension, arteriosclerosis, the blood velocity is very important. Determining the blood velocity methods using ultrasound are Continuous Doppler System and Pulse Doppler System. In using the Pulse Doppler System, we can obtain the position of blood velocity. But it is more complex hardware than Continuous Doppler System and it has low SNR(signal-noise ratio). So in this study, to obtain a believable information we use the Continuous Pulse Doppler System. Thus system have analog part and digital part. In analog part is composed of ultrasound generating part, the amplifying part to amplify the received signal from ultrasound sensor, the demodulation part to detect blood velocity and the filtering part to remove the noise. In digital part is composed of the A/D conversion part, digital signal processing part, and the communication part to communicate the PC. In this study to implement efficient ultrasound blood velocity measurement system, we can get the patient's blood velocity information in realtime. Thus, It is a useful in the accurate diagnosis with C.T(computered tomography), M.R.I(magnetic resonance imaging).

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Implementation of Sharpness-Enhancement Algorithm based on Adaptive-Filter for Mobile-Display Apparatuses (Mobile Display 장치를 위한 Adaptive-Filter 기반형 선명도 향상 알고리즘의 하드웨어 구현)

  • Im, Jeong-Uk;Song, Jin-Gun;Lee, Sung-Jin;Min, Kyoung-Joong;Kang, Bong-Soon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.109-112
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    • 2007
  • Definition-Enhancement of the digitalized image has been being made researches continuously due to application a camera to a mobile-apparatus and the advent of a digital camera. In particular, the inputted image from a sensor goes through the process of ISP(Image Signal Process) prior to output as a visual image. The high-frequency components are offset by LPF(Low Pass Filter) that eliminates the noise of high spatial-frequency at the moment. In this paper, we propose an algorithm that outputs more vivid image by using adaptive-HPF(High Pass Filter) that has apt coefficients for diverse conditions of an image edge, nevertheless we do not employ any Edge-Detection algorithm to enhance a blurred image.

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Vision and Depth Information based Real-time Hand Interface Method Using Finger Joint Estimation (손가락 마디 추정을 이용한 비전 및 깊이 정보 기반 손 인터페이스 방법)

  • Park, Kiseo;Lee, Daeho;Park, Youngtae
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.157-163
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    • 2013
  • In this paper, we propose a vision and depth information based real-time hand gesture interface method using finger joint estimation. For this, the areas of left and right hands are segmented after mapping of the visual image and depth information image, and labeling and boundary noise removal is performed. Then, the centroid point and rotation angle of each hand area are calculated. Afterwards, a circle is expanded at following pattern from a centroid point of the hand to detect joint points and end points of the finger by obtaining the midway points of the hand boundary crossing and the hand model is recognized. Experimental results that our method enabled fingertip distinction and recognized various hand gestures fast and accurately. As a result of the experiment on various hand poses with the hidden fingers using both hands, the accuracy showed over 90% and the performance indicated over 25 fps. The proposed method can be used as a without contacts input interface in HCI control, education, and game applications.

Technological development issues on geometric phase lens and its application of optical modulation (기하위상 렌즈의 개발 이슈 및 이의 광파 변조 응용)

  • Lee, Tae-Hyun;Lee, Su-Won;Hong, Keehoon;Choi, Kihong;Kim, Hak-Rin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.557-560
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    • 2020
  • 최근, 광소자에서 공간 변조되는 wavefront profile 특성을 광소자의 표면 단차 변화 없이 단일 두께 박막 상에서 자유로이 구현할 수 있는 기하위상 홀로그램 (geometric phase hologram) 기반의 optical component에 대한 관심이 증대되고 있다. 특히 이를 이용해 제작된 기하위상 렌즈 (geometric phase lens)는 dynamic phase의 공간적 차이에 의해 구현되던 기존 bulk optics 기반의 lens 대비 초박형으로 제작이 가능한 파장 선택적 flat optics 기술로써, 다초점 및 경량화를 요구하는 차세대 디스플레이 기술 (augmented reality 또는 AR, mixed reality 또는 MR) 및 광파변조 및 제어를 요구하는 홀로그래픽 카메라 분야에 대한 응용처로 많은 주목을 받고 있다. 이에 본 논문에서는 해당 기하 위상렌즈에 대한 원리 및 이에 따른 개발이슈 및 해결법에 대해 연구 하였으며, 이에 대한 응용처로 기하위상 렌즈의 편광에 따른 이중초점특성을 이용해, 기존 단일 초점 형성이 가능한 AR기기 대비, 다초점 형성이 가능한 switchable dual-depth 3D AR device를 compact한 모듈과 함께 구현하였다. 또한, 기하위상렌즈의 광파 변조 및 분리특성을 이용한 기하위상 렌즈기반의 자가간섭 홀로그래픽 시스템(GP-self-interference incoherent digital holographic, GP-SIDH)에 편광 이미지센서 적용과 함께 맞춤형 설계/제작된 기하 위상렌즈를 적용함으로써, 기존 GP-SIDH 시스템대비 안정적으로 실시간 복소 홀로그램 획득이 가능한 실시간 공간영상정보 획득용 GP-SIDH을 동영상 프레임으로 구현하였다.

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Application of RS/GIS Integration for the Landuse Planning in the newly Reclaimed Tideland (신규 간척지 토지이용계획을 위한 원격탐사/지리정보시스템의 응용)

  • Cho Byung-jin;Yoo Kyung-hak;K Torii
    • KCID journal
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    • v.4 no.1
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    • pp.10-21
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    • 1997
  • 지상관측위성에 탑재된 센서로부터 얻어진 자료는 지리정보데이터로 그 이용이 증가되고 있다. 이 연구에서는 신규간척지에서의 토지이용계획을 수립하기 위하여 위성자료를 이용한 원격탐사와 지리정보 체계를 종합하는 방법의 적용가능성을 다루고 있다. 현재 공사중인 간척사업지구를 커버하는 LANDSAT TM, MOS, SPOT 디지털데이터를 영상화하고, 영산강 3단계 사업지구 유역의 토지이용 현황을 분석하였으며, 신규간척지의 토지이용계획을 위하여 동원가능한 데이터를

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The X-ray Detection Characteristic of vacuum evaporated CsI for Digital X-ray Image Sensor (디지털 X선 영상센서 적용을 위한 진공증착 CsI 특성평가)

  • Shin, Jung-Wook;Park, Ji-Koon;Choi, Jang-Yong;Seok, Dea-Woo;Kim, Jea-Hyung;Nam, Sang-Hee
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.05c
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    • pp.15-18
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    • 2003
  • In recent years, there has been keen interest in phosphor materials responding X-ray. Cesium iodide of the materials is a material with a high $\gamma$-ray stopping power due to its relative high density and atomic number. CsI is noted for its high resistance to thermal and mechanical shock due to the absence of a cleavage plane. To design the structure of CsI detector, we analysed the structure with SEM and XRD and measured UV meter.

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Verification of Multi-point Displacement Response Measurement Algorithm Using Image Processing Technique (영상처리기법을 이용한 다중 변위응답 측정 알고리즘의 검증)

  • Kim, Sung-Wan;Kim, Nam-Sik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3A
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    • pp.297-307
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    • 2010
  • Recently, maintenance engineering and technology for civil and building structures have begun to draw big attention and actually the number of structures that need to be evaluate on structural safety due to deterioration and performance degradation of structures are rapidly increasing. When stiffness is decreased because of deterioration of structures and member cracks, dynamic characteristics of structures would be changed. And it is important that the damaged areas and extent of the damage are correctly evaluated by analyzing dynamic characteristics from the actual behavior of a structure. In general, typical measurement instruments used for structure monitoring are dynamic instruments. Existing dynamic instruments are not easy to obtain reliable data when the cable connecting measurement sensors and device is long, and have uneconomical for 1 to 1 connection process between each sensor and instrument. Therefore, a method without attaching sensors to measure vibration at a long range is required. The representative applicable non-contact methods to measure the vibration of structures are laser doppler effect, a method using GPS, and image processing technique. The method using laser doppler effect shows relatively high accuracy but uneconomical while the method using GPS requires expensive equipment, and has its signal's own error and limited speed of sampling rate. But the method using image signal is simple and economical, and is proper to get vibration of inaccessible structures and dynamic characteristics. Image signals of camera instead of sensors had been recently used by many researchers. But the existing method, which records a point of a target attached on a structure and then measures vibration using image processing technique, could have relatively the limited objects of measurement. Therefore, this study conducted shaking table test and field load test to verify the validity of the method that can measure multi-point displacement responses of structures using image processing technique.

Evaluation of Applicability of RGB Image Using Support Vector Machine Regression for Estimation of Leaf Chlorophyll Content of Onion and Garlic (양파 마늘의 잎 엽록소 함량 추정을 위한 SVM 회귀 활용 RGB 영상 적용성 평가)

  • Lee, Dong-ho;Jeong, Chan-hee;Go, Seung-hwan;Park, Jong-hwa
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1669-1683
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    • 2021
  • AI intelligent agriculture and digital agriculture are important for the science of agriculture. Leaf chlorophyll contents(LCC) are one of the most important indicators to determine the growth status of vegetable crops. In this study, a support vector machine (SVM) regression model was produced using an unmanned aerial vehicle-based RGB camera and a multispectral (MSP) sensor for onions and garlic, and the LCC estimation applicability of the RGB camera was reviewed by comparing it with the MSP sensor. As a result of this study, the RGB-based LCC model showed lower results than the MSP-based LCC model with an average R2 of 0.09, RMSE 18.66, and nRMSE 3.46%. However, the difference in accuracy between the two sensors was not large, and the accuracy did not drop significantly when compared with previous studies using various sensors and algorithms. In addition, the RGB-based LCC model reflects the field LCC trend well when compared with the actual measured value, but it tends to be underestimated at high chlorophyll concentrations. It was possible to confirm the applicability of the LCC estimation with RGB considering the economic feasibility and versatility of the RGB camera. The results obtained from this study are expected to be usefully utilized in digital agriculture as AI intelligent agriculture technology that applies artificial intelligence and big data convergence technology.

Accuracy Analysis According to the Number of GCP Matching (지상기준점 정합수에 따른 정확도 분석)

  • LEE, Seung-Ung;MUN, Du-Yeoul;SEONG, Woo-Kyung;KIM, Jae-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.127-137
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    • 2018
  • Recently, UAVs and Drones have been used for various applications. In particular, in the field of surveying, there are studies on the technology for monitoring the terrain based on the high resolution image data obtained by using the UAV-equipped digital camera or various sensors, or for generating high resolution orthoimage, DSM, and DEM. In this study, we analyzed the accuracy of GCP(Ground control point) matching using UAV and VRS-GPS. First, we used VRS-GPS to pre-empt the ground reference point, and then imaged at a base altitude of 150m using UAV. To obtain DSM and orthographic images of 646 images, RMSE was analyzed using pix4d mapper version As a result, even if the number of GCP matches is more than five, the error range of the national basic map(scale : 1/5,000) production work regulations is observed, and it is judged that the digital map revision and gauging work can be utilized sufficiently.